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Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy
Oil rim reservoirs with very large gas caps, strong aquifers, and pay thickness below 30 ft. pose oil production challenges to operators. With best operational practices, very high gas oil ratios are recorded at the initial onset of oil production, thus such reservoirs are subjected to a gas cap blo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679480/ https://www.ncbi.nlm.nih.gov/pubmed/36426095 http://dx.doi.org/10.1016/j.dib.2022.108652 |
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author | Olabode, Oluwasanmi Nnorom, ChukwuEbuka Ajagunna, Samuel Awelewa, Kehinde Umunna, Precious Uzodinma, Odera |
author_facet | Olabode, Oluwasanmi Nnorom, ChukwuEbuka Ajagunna, Samuel Awelewa, Kehinde Umunna, Precious Uzodinma, Odera |
author_sort | Olabode, Oluwasanmi |
collection | PubMed |
description | Oil rim reservoirs with very large gas caps, strong aquifers, and pay thickness below 30 ft. pose oil production challenges to operators. With best operational practices, very high gas oil ratios are recorded at the initial onset of oil production, thus such reservoirs are subjected to a gas cap blow down leading to an ultimate loss in oil reserves. This loss is attributed to a rapid and drastic drop in pressure over the productive life of the reservoir. To maximize oil production, a simulation study is focused on initiating oil wells at different time intervals and estimating oil recoveries at these points. It is believed that the gas cap would have been blown down in time to accommodate for substantial oil production. This study presents the reservoir data (from the Niger-Delta) that can be incorporated in a black oil reservoir simulator (Eclipse) coupled with best production and optimization strategies (water and gas injection) for maximum oil production during gas cap blow down. The data presented will provide a detailed process developing an oil rim synthetic model, support and enhance further studies in optimizing oil production in oil rims subjected to gas cap blow down, create a template for secondary and enhanced oil recovery processes. |
format | Online Article Text |
id | pubmed-9679480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96794802022-11-23 Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy Olabode, Oluwasanmi Nnorom, ChukwuEbuka Ajagunna, Samuel Awelewa, Kehinde Umunna, Precious Uzodinma, Odera Data Brief Data Article Oil rim reservoirs with very large gas caps, strong aquifers, and pay thickness below 30 ft. pose oil production challenges to operators. With best operational practices, very high gas oil ratios are recorded at the initial onset of oil production, thus such reservoirs are subjected to a gas cap blow down leading to an ultimate loss in oil reserves. This loss is attributed to a rapid and drastic drop in pressure over the productive life of the reservoir. To maximize oil production, a simulation study is focused on initiating oil wells at different time intervals and estimating oil recoveries at these points. It is believed that the gas cap would have been blown down in time to accommodate for substantial oil production. This study presents the reservoir data (from the Niger-Delta) that can be incorporated in a black oil reservoir simulator (Eclipse) coupled with best production and optimization strategies (water and gas injection) for maximum oil production during gas cap blow down. The data presented will provide a detailed process developing an oil rim synthetic model, support and enhance further studies in optimizing oil production in oil rims subjected to gas cap blow down, create a template for secondary and enhanced oil recovery processes. Elsevier 2022-10-08 /pmc/articles/PMC9679480/ /pubmed/36426095 http://dx.doi.org/10.1016/j.dib.2022.108652 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Olabode, Oluwasanmi Nnorom, ChukwuEbuka Ajagunna, Samuel Awelewa, Kehinde Umunna, Precious Uzodinma, Odera Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title | Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title_full | Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title_fullStr | Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title_full_unstemmed | Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title_short | Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
title_sort | dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679480/ https://www.ncbi.nlm.nih.gov/pubmed/36426095 http://dx.doi.org/10.1016/j.dib.2022.108652 |
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